通过生物信息学和实验验验证,识别肺腺癌中与内质网膜压力相关的lncRNAs
Tong Xin1, Yue Sun1, Hongxue Meng2
1The Fourth Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Annals of medicine
|August 29, 2023
概括
一种使用五种与内分泌网膜压力相关的lncRNA (与ERs相关的LncSig) 的新预后模型可以预测肺腺癌 (LUAD) 患者的结果. 这种特征揭示了免疫反应和治疗敏感性的差异,有助于临床决策.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 基因组学就是基因组学.
背景情况:
- 细胞内膜网膜应激 (ERs) 是一种细胞防御机制,与癌症发展有关.
- ERs在肺腺癌 (LUAD) 进展中的特定作用尚不清楚.
研究的目的:
- 识别与内质网膜应激相关的长非编码RNAs (与ERs相关的lncRNAs).
- 开发基于ERs相关的lncRNAs的LUAD预后模型.
- 调查预后模型与瘤免疫微环境 (TME),瘤突变负担 (TMB) 和治疗敏感性之间的关系.
主要方法:
- 共同表达分析和生物信息学工具 (LASSO,Cox回归) 用于识别与ERs相关的lncRNAs.
- 使用五个关键ERs相关的lncRNAs构建了一个预后签名 (与ERs相关的LncSig).
- 根据风险得分进行了免疫分析,TME,TMB和药物敏感性预测.
主要成果:
- 开发的与ERs相关的LncSig有效预测了LUAD预后,高风险患者的生存率较差.
- 在高风险和低风险组之间的免疫细胞透,免疫功能和免疫检查点中观察到显著的差异.
- 该签名还与TME特征,TMB,免疫疗法的有效性和对化疗剂的敏感性相关.
结论:
- 与ERs相关的lncRNA签名是LUAD中预后评估的宝贵工具.
- 这一发现为改善临床决策和为LUAD患者提供个性化医疗方法提供了潜力.
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